Dates, counts and labels in Anthropic's 9 October report on unintended model actions: what the police statement adds, what no source states, and what UK organisations that give agents live internet access should do.
Microsoft's launch chart sets an 85 ms measured API against JevBench's adjusted 380 ms for Quyet-1.0-Large, whose raw timing is 116 ms. The 36-benchmark accuracy ranking contains no general-purpose LLM, and no independent result for Decision-1 exists yet.
Anthropic expects over 90 per cent of OSS Scanner's unreviewed reports to be true, but gives no rate for the 4,824 already sent direct. Its early sample reads 88 or 99 per cent by definition. Also the infrastructure program's eleven partners, and UK clocks.
Recounting Pwn2Own Ireland 2026 from ZDI's own tables: 61 attempts, 51 successes, 10 failures, 2 inferred withdrawals and 29 collision-labelled successes. No vendor page read on 9 October ties a fix to a contest bug.
What Zenity's five posts, AWS's AgentCore pages and Dark Reading's report establish about AgentCorruption: dates, scope, what AWS states, what UK customers must still check on agent roles, and a ranked checklist.
Footnote 2 explains why 90 per cent off a token is 'around 75 per cent' off the bill. Anthropic's chart data put the 75 per cent at Medium effort and show Max costing 2.3 to 3.6 times Haiku 4.5 per task on three of four benchmarks.
One name, two versions, 15 days apart: what OpenAI's card, help pages and API docs establish about GPT-6 Sol in ChatGPT chat, what they leave out, and a UK checklist for model change control.
What Talos's 8 October post establishes and what it leaves out: a net rate rather than 35% of runs, five unnamed local models, a corpus built by its own filters, and a UK checklist for SOC and managed detection teams.
JFrog scores CVE-2026-105192 at 9.8 for a routable bind; the default is localhost. LMCache's Kubernetes example binds every interface, and four more LMCache CVEs followed the same afternoon. No fix, no maintainer statement, not in KEV.
Anthropic's 6 October CVP page: Red Team 34 of 50 against 67.6% unfiltered, Defense 4 of 50 through. What the run does not show, the 134,500 against 135,610 vulnerability counts, UK GDPR and Computer Misuse Act points, and a checklist.
One model, 50% of runs, no run count: what Adversa's Copilot CLI write-up shows, what it leaves out, what GitHub's own pages say about autopilot, and what UK teams should do first.
Wikimedia's 5 October post links 54 edits it attributes to OpenAI agents: 49 sandbox pages and five citation-tool settings. It reports no compromise and does not state how it made the attribution.